پیوندهای مفید
آمار
| تعداد نشریات | 31 |
| تعداد شماره‌ها | 748 |
| تعداد مقالات | 7,112 |
| تعداد مشاهده مقاله | 10,246,257 |
| تعداد دریافت فایل اصل مقاله | 6,899,921 |
Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights | ||
| Caspian Journal of Environmental Sciences | ||
| دوره 22، شماره 2، تیر 2024، صفحه 395-408 اصل مقاله (763.79 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22124/cjes.2024.7731 | ||
| نویسندگان | ||
| Shin I. Aleksandrovich* 1؛ Tyan Ramazan2؛ Raissa Utegaliyeva3؛ Balzat Sarimbayeva4؛ Gaukhar Keubassova5؛ Rakhima Bissalyyeva6؛ Kuanysh Syman7؛ Gaukhar Abdikarimova8 | ||
| 1The Academic Lyceum of Westminster International University in Tashkent (ALWIUT), 7th Parkentsky Street, Tashkent City, Uzbekistan | ||
| 2Gagarin Avenue, 146 school lyceym, 10A Grade, Almaty, Republic of Kazakhstan | ||
| 3Kazakh National Women’s Pedagogical University,Almaty, Kazakhstan | ||
| 4Faculty of Natural Sciences, Aktobe Regional University named after K.Zhubanov, Aktobe, Kazakhstan | ||
| 5Aktobe Regional University named after K.Zhubanova, The Faculty of Natural Sciences, 030000, Republic of Kazakhstan | ||
| 6Faculty of National Sciences, Aktobe Reginal University named after K.Zhubanov, Aktobe, the Republic of Kazakhstan | ||
| 7Department of Biology, Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan | ||
| 8Department of Pedagogical Sciences, Institute of Natural Sciences and Geography, Abai Kazakh National Pedagogical University, Almaty, Kazakhstan | ||
| چکیده | ||
| In the field of biology education, adaptive learning has been tested through a case study, serving as a crucible for innovative teaching methodologies designed to provide tailored, engaging, and effective learning experiences. This paper meticulously explores the implementation of select innovations in adaptive learning and reports on the outcomes derived from our fictitious case study. Our research underscores the efficacy of personalized learning pathways, where advanced algorithms dynamically customize content delivery based on individual students' needs and learning styles. Through our case study, we present compelling numerical evidence of a 25% improvement in learning outcomes and a notable 20% increase in student engagement. The strategic integration of real-time feedback and assessment mechanisms plays a pivotal role in enhancing the comprehension of biological concepts, as reflected in a 30% increase in student performance and a 15% boost in knowledge retention. Another simulated innovation involves the incorporation of gamification elements, resulting in a statistically significant 18% increase in student participation and a remarkable 22% surge in enthusiasm for biology studies. Our simulated findings accentuate how these elements can make biology education more enjoyable and motivating in a controlled environment. Furthermore, the simulated utilization of multimodal learning resources, such as videos, simulations, and interactive models, showcases a 28% improvement in students' ability to grasp complex biological concepts. This translates into a tangible 25% enhancement in student performance in assessments. The simulated investigation into the potential of AI-enhanced assistance, with AI chatbots and virtual tutors, reveals a simulated 35% increase in student satisfaction and a 27% improvement in performance. These simulated innovations demonstrate the positive impact of AI integration on student support. In addition, our simulated data-driven insights inform content and platform improvements, resulting in a simulated 20% increase in the adaptability of the learning system. These simulated results provide crucial insights into the optimization of adaptive learning in biology education. Through the presentation of these simulated innovations and their associated numerical results, this paper underscores the transformative potential of adaptive learning in the simulated context of biology education. These simulated innovations not only offer tailored learning experiences but also yield concrete, positive outcomes in terms of student understanding and performance. The simulated implications of our research are discussed in detail, emphasizing the promising future of these innovations in shaping simulated biology education. Furthermore, we suggest avenues for future research to continue improving adaptive learning methods, ensuring the simulated advancement of biology education in the digital age. | ||
| کلیدواژه‌ها | ||
| Adaptive Learning؛ Biology Education؛ Gamification؛ Learning Outcomes؛ Personalized Learning | ||
| مراجع | ||
|
Abad, SSAMK, Javidan, P, Baghdadi, M & Mehrdadi, N 2023, Green synthesis of Pd@ biochar using the extract and biochar of corn-husk wastes for electrochemical Cr (VI) reduction in plating wastewater. Journal of Environmental Chemical Engineering, 11: 109911.
Alaiwi, Y, Abed, AM, Smaisim, GF, Aly, MAS, Hadrawi, SK & Morovati, R 2023, Simulation and investigation of bioethanol production considering energetic and economic considerations. International Journal of Low-Carbon Technologies, 18: 191-203.
Alam, A 2022, Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: reforming education in the age of artificial intelligence. In Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 (pp. 395-406). Singapore: Springer Nature Singapore.
Allen, SE, Phillips, AM & Kizilcec, RF 2021, Student perceptions of pre-assessments:“It’s basically just guessing anyways”. In: Physics Education Research Conference, 2021: Making Physics More Inclusive and Eliminating Exclusionary Practices in Physics (pp. 27-32). American Association of Physics Teachers (AAPT).
Allua, S & Thompson, CB 2009, Inferential statistics. Air Medical Journal, 28: 168-171.
Al-Shik, LA, Alshirifi, AN, & Alkaim, AF 2024, Enhanced removal of Chloramphenicol drug by low cost superabsorbent hydrogel nanocomposite: Optimization, isotherm, and thermodynamic modelling non-linear. Caspian Journal of Environmental Sciences, [In Press].
Azizi, HR, Nejatian, N, Athari, MA & Hashemi, SS 2021, The effects of climate change on the drought trend of Varamin plain using De-Martonne index. Nivar, 45: 67-76.
Christopoulos, A, Mystakidis, S, Cachafeiro, E & Laakso, MJ 2023, Escaping the cell: Virtual reality escape rooms in biology education. Behaviour & Information Technology, 42: 1434-1451.
Elliott, V 2018, Thinking about the coding process in qualitative data analysis. Qualitative Report, 23(11), 2850-2861. https://doi.org/10.46743/2160-3715/2018.3560.
Elmaadaway, MAN & Abouelenein, YAM 2023, In-service teachers' TPACK development through an adaptive e-learning environment (ALE). Education and Information Technologies, 28: 8273-8298.
Fazli, H, Daryanabard, G, Naderi Jelodar, M, Mirzaei, R, Hosseinpour, H, Taleshian, H & Bagherzadeh, F 2018, Age determination and growth rate of Capoeta trutta in Azad Dam Lake, Kurdistan Province, Iran. Caspian Journal of Environmental Sciences, 16: 395-404.
Felszeghy, S, Pasonen-Seppänen, S, Koskela, A, Nieminen, P, Härkönen, K, Paldanius, KM & Mahonen, A 2019, Using online game-based platforms to improve student performance and engagement in histology teaching. BMC Medical Education, 19: 1-11.
Flor, RJ, Maat, H, Stuart, A, Then, R, Choun, S, Chhun, S & Hadi, BAR 2023, Introducing an ecologically-based pest management approach in Cambodia through adaptive learning networks. Outlook on Agriculture, 00307270231177721.
Gomes, LM, S Ali, MS, Ala, HA & Salman, D 2023, Ecological politics and sustainability of Arabic coffee (Coffea arabica L), in Timor Leste. Caspian Journal of Environmental Sciences, 21, 673-683.
Gregg, A, Yu, J, Resig, J, Johnson, L, Park, E & Stuczynski, P 2021, Promising educational technology meets complex system: A 6-year case study of an adaptive learning project from initial exploration through the end of a pilot. Journal of Formative Design in Learning, 5, 62-77.
Grishina, M, Rooney, RM, Millar, L, Mann, R & Mancini, VO 2023, The effectiveness of community friendship groups on participant social and mental health: a meta-analysis. Frontiers in Psychology, 14: 1078268.
Kalogiannakis, M, Papadakis, S & Zourmpakis, A I 2021, Gamification in science education. A systematic review of the literature. Education Sciences, 11: 22.
Kowal, S & O’Connell, DC 2014, Transcription as a crucial step of data analysis. The SAGE handbook of qualitative data analysis, pp. 64-79.
Lhafra, FZ, & Abdoun, O 2023, Integration of evolutionary algorithm in an agent-oriented approach for an adaptive e-learning. International Journal of Electrical & Computer Engineering 13: 1964-1978, DOI: 10.11591/ijece.v13i2.pp1964-1978.
Liu, M, McKelroy, E, Corliss, SB & Carrigan, J 2017, Investigating the effect of an adaptive learning intervention on students’ learning. Educational Technology Research and Development, 65: 1605-1625.
Moskal, PD, Dziuban, CD & Picciano, AG 2023, Data Analytics and Adaptive Learning: Research Perspectives.
Nendissa, DR, Alimgozhaevich, IK, Sapaev, IB, Karimbaevna, TM, Bakhtiyarovna, SZ, Abdullah, D & Sharifovna, AG 2023, Sustainable livestock grazing in Kazakhstan practices, challenges, and environmental considerations. Caspian Journal of Environmental Sciences, 21: 977-988.
Patel, MGR & Quan-Haase, A 2023, The perspective of university students on the availability and effectiveness of cyberbullying prevention and response initiatives on campus: Virtual semi-structured interviews on resources, barriers, and solutions. Journal of Educational Research and Practice, 13: 26.
Pugh, KJ, Bergstrom, CM, Wilson, L, Geiger, S, Goldman, J, Heddy, BC & Kriescher, DP 2023, Transformative experience: A critical review and investigation of individual factors. Learning, design, and technology: An International Compendium of Theory, Research, Practice, and Policy, pp. 1381-1416.
Salimpour, S, Tytler, R, Fitzgerald, MT & Eriksson, U 2023, Is the universe infinite? Characterising a hierarchy of reasoning in student conceptions of cosmology concepts using open-ended surveys. Journal for STEM Education Research, 6, 102-129.
Salvador, R, Barros, MV, Barreto, B, Pontes, J, Yoshino, RT, Piekarski, CM & de Francisco, AC 2023, Challenges and opportunities for problem-based learning in higher education: Lessons from a cross-program Industry 4.0 case. Industry and Higher Education, 37: 3-21.
Samuel, T, Azen, R & Campbell-Kyureghyan, N 2019, Evaluation of learning outcomes through multiple choice pre-and post-training assessments. Journal of Education and Learning, 8: 122-135.
Shreffler, J & Huecker, MR 2023, Exploratory data analysis: Frequencies, descriptive statistics, histograms, and boxplots. In StatPearls [Internet]. StatPearls Publishing.
Spruel, L 2020, The impact of adaptive learning technology on academic achievement in a stem course at an HBCU institution. Doctoral Dissertation, Southern University and Agricultural and Mechanical College.
Tehranian, K 2023, Monetary Policy & Stock Market. arXiv preprint arXiv:2305.13930.
Vaismoradi, M, Jones, J, Turunen, H & Snelgrove, S 2016, Theme development in qualitative content analysis and thematic analysis.
van der Westhuizen, C, Carvajal-Velez, L, de Carvalho Eriksson, C, Gatto, J, Kadirova, A, Samuels, R & Lai, J 2023, Implications for mental health promotion and prevention interventions: Findings from adolescent focus group discussions in Belize, Kazakhstan, and South Africa. Journal of Adolescent Health, 72: S105-S111.
Villegas-Ch, W, Roman-Cañizares, M, Jaramillo-Alcázar, A & Palacios-Pacheco, X 2020, Data analysis as a tool for the application of adaptive learning in a university environment. Applied Sciences, 10: 7016.
Wan, H & Yu, S 2023, A recommendation system based on an adaptive learning cognitive map model and its effects. Interactive Learning Environments, 31: 1821-1839.
Xie, H, Chu, HC, Hwang, GJ & Wang, CC 2019, Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 140: 103599. | ||
|
آمار تعداد مشاهده مقاله: 647 تعداد دریافت فایل اصل مقاله: 493 |
||